Image Segmentation and Filtering of Anaerobic Lagoon Floating Cover in Digital Elevation Model and Orthomosaics Using Unsupervised k-Means Clustering for Scum Association Analysis

Image Segmentation and Filtering of Anaerobic Lagoon Floating Cover in Digital Elevation Model and Orthomosaics Using Unsupervised k-Means Clustering for Scum Association Analysis

In various engineering applications, remote sensing images such as digital elevation models (DEMs) and orthomosaics provide a convenient means of generating 3D representations of physical assets, enabling the discovery of new insights and analyses. However, the presence of noise and artefacts, parti...

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Bibliographic Details
Main Authors: Benjamin Steven Vien, Thomas Kuen, Louis Raymond Francis Rose, Wing Kong Chiu
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Remote Sensing
Subjects:
structural health monitoring
unmanned aerial vehicles
photogrammetry
sewage treatment
scum
unsupervised machine learning
Online Access:https://www.mdpi.com/2072-4292/15/22/5357

Internet

https://www.mdpi.com/2072-4292/15/22/5357

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